Aleika Lwiza Alves Fonsêca is a master’s student in the Postgraduate Program in Electrical and Computer Engineering at the Federal University of Rio Grande do Norte (UFRN). She holds a Bachelor's degree in Computer Engineering from the same university, which she earned in 2022. With a background in software development, Aleika has contributed to multiple projects as a researcher at the Laboratory of Technological Innovation in Health (LAIS) at UFRN. In her research at LAIS, she has worked extensively with technologies applied to Health Information Systems, Electronic Patient Records, and Amyotrophic Lateral Sclerosis.
Dr. Ana Raquel Lindquist is a Professor at the
Laboratory of Technological Innovation in Health (LAIS), Federal University of
Rio Grande do Norte (UFRN), Natal, Brazil. She is also affiliated with the
Laboratory of Intervention and Analysis of Movement, Department of Physical
Therapy, Federal University of Rio Grande do Norte, Natal, Brazil. She received
a degree in valuation of Musculoskeletal Systems (Physical Therapy) from the
Federal University of Rio Grande do Norte in 1999, a Master’s degree in
Education Motor Control and a Master’s degree in Physical Therapy from the
Federal University of Rio Grande do Norte in 2001, and her PhD degree in
Physiology from Federal University of São Carlos in 2005. Her main research
areas include Accelerometer Data, Alternative Communication, Amyotrophic
Lateral Sclerosis, Amyotrophic Lateral Sclerosis Patients, Assistive
Technology, Biomedical Signals, and Data Normalization, etc.
Prof. Dr. Jorge Henriques is an Associate Professor
with habilitation at the Informatics Engineering Department of the University
of Coimbra, Portugal. His main research interests are computational
intelligence methodologies with application to bio-signal analysis, diagnosis,
prediction, and decision, in particular in the clinical context. He is a senior
researcher at the CISUC being the coordinator of the Adaptive Computation
Computation Group. His publications include several book chapters and over 200
papers in international journals and conferences. He got an award in the 10th
PhysioNet/Computing in Cardiology Challenge, presenting the best computational
algorithm for the prediction of acute hypotensive episodes. He has participated
in the organization and program committees of several international conferences
in the health informatics area. He has coordinated and participated in several
projects at national and international levels, namely in the eHealth area: FCT,
P2020, FP7, and H2020.
